ArticleScientific data2019
Multiplex RNA single molecule FISH of inducible mRNAs in single yeast cells.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- TrueSpot: a robust automated tool for quantifying signal puncta in fluorescent imaging.Genome biology · 2025Article
- TrueSpot: A robust automated tool for quantifying signal puncta in fluorescent imaging.bioRxiv : the preprint server for biology · 2025Article
- Incorporating spatial diffusion into models of bursty stochastic transcription.Journal of the Royal Society, Interface · 2025Article
- Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression.Nature communications · 2025Article
- Quantitative multiplexed analysis of gene and protein expression patterns inCurrent research in microbial sciences · 2025Article
- Decoding stimulus-specific regulation of promoter activity of p53 target genes.Frontiers in cell and developmental biology · 2025Article
- Monte Carlo samplers for efficient network inference.PLoS computational biology · 2023Article
- Synergising single-cell resolution and 4sU labelling boosts inference of transcriptional bursting.Genome biology · 2023Article
- Gene expression model inference from snapshot RNA data using Bayesian non-parametrics.Nature computational science · 2023Article
- Analysis and design of single-cell experiments to harvest fluctuation information while rejecting measurement noise.Frontiers in cell and developmental biology · 2023Article
- Quantitative single molecule RNA-FISH and RNase-free cell wall digestion in Neurospora crassa.Fungal genetics and biology : FG & B · 2021Article
- The Impact of Pro-Inflammatory Cytokines on Alternative Splicing Patterns in Human Islets.Diabetes · 2021Article
- Computerized fluorescence microscopy of microbial cells.World journal of microbiology & biotechnology · 2021Review
- Imaging and Quantification of mRNA Molecules at Single-Cell Resolution in the Human Fungal Pathogen Candida albicans.mSphere · 2021Article
- A yeast-optimized single-cell transcriptomics platform elucidates how mycophenolic acid and guanine alter global mRNA levels.Communications biology · 2021Article
- Article
- Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer.Scientific reports · 2020Article
- Single-particle imaging of stress-promoters induction reveals the interplay between MAPK signaling, chromatin and transcription factors.Nature communications · 2020Article
- BAYESIAN INFERENCE OF STOCHASTIC REACTION NETWORKS USING MULTIFIDELITY SEQUENTIAL TEMPERED MARKOV CHAIN MONTE CARLO.International journal for uncertainty quantification · 2020Article
- Multiplex RNA single molecule FISH of inducible mRNAs in single yeast cells.Scientific data · 2019Article
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Authors and funding
2 authors.
Funding
Abstract
Transcript levels powerfully influence cell behavior and phenotype and are carefully regulated at several steps. Recently developed single cell approaches such as RNA single molecule fluorescence in-situ hybridization (smFISH) have produced advances in our understanding of how these steps work within the cell. In comparison to single-cell sequencing, smFISH provides more accurate quantification of RNA levels. Additionally, transcript subcellular localization is directly visualized, enabling the analysis of transcription (initiation and elongation), RNA export and degradation. As part of our efforts to investigate how this type of analysis can generate improved models of gene expression, we used smFISH to quantify the kinetic expression of STL1 and CTT1 mRNAs in single Saccharomyces cerevisiae cells upon 0.2 and 0.4 M NaCl osmotic stress. In this Data Descriptor, we outline our procedure along with our data in the form of raw images and processed mRNA counts. We discuss how these data can be used to develop single cell modelling approaches, to study fundamental processes in transcription regulation and develop single cell image processing approaches.
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